PReLU 3D

Description

Adds the weight of the PReLU3D layer to the weights table. Type : polymorphic.

Input parameters

 name : string, name of layer.
 alpha : array, 2D values. alpha = [input_dim1, input_dim2].

Output parameters

Dimension

• alpha = [input_dim1, input_dim2]

Its size depends on the input of the PReLU layer.
For example, if the layer has an entry [batch_size = 10, input_dim1 = 7, input_dim2 = 5] then alpha will have a size [input_dim1 = 7, input_dim2 = 5].
The size can also depend on the “shared_axis” parameter that you set to the PReLU layer. Each axis specified in this param is represented by a 1 in the weights.
For example, if you set the parameter with the values [1], alpha will have a size [1, input_dim2 = 5].
Another example, if you define the parameter with the values [1, 2], alpha will have a size [1, 1].

Example

All these exemples are snippets PNG, you can drop these Snippet onto the block diagram and get the depicted code added to your VI (Do not forget to install Deep Learning library to run it).